Calories and nutrition for any food, chain meal or barcode, and meal ideas for a goal and diet.
Scored across 3 tools
get_barcode_nutrition and get_food_nutrition both return nutrition and could be confused, but the barcode-vs-name/amount input distinction is clearly documented. get_meal_ideas is cleanly separate, targeting meal suggestions rather than lookup.
All three tools follow the same get_<noun> snake_case pattern (get_barcode_nutrition, get_food_nutrition, get_meal_ideas). Fully predictable and consistent.
Three tools is lean but each covers a distinct job (barcode lookup, named-food lookup, meal ideas) for a narrow nutrition domain. Slightly thin but not a mismatch for the stated scope.
Covers the core nutrition retrieval paths—packaged products, generic/chain foods/meals, and meal suggestions—with rich output. Minor gaps like no food search or comparison, but no dead ends for typical lookups.
Nutrition for a packaged product by barcode, with UK traffic lights. For requests like "is this barcode high in sugar?", "how many calories in this?" after a scan, or "what's the salt in 5000157024886?". Returns per 100 g (or 100 ml) and per serving values, traffic lights for fat, saturates, sugars and salt, Nutri-Score, allergens and a Halal or Not? link for checking the ingredients.
Inputs: code (required), servings.
Calories and macros for a food, dish or product, for the amount the user says. For requests like "how many calories in a Big Mac?", "protein in 200g chicken breast", "calories in chicken biryani", "a slice of pepperoni pizza", "a large latte" or a whole meal like "2 eggs, 2 slices of toast and a coffee". Takes the whole amount and food in q, or grams or servings separately. Generic foods and dishes (thousands, including fast food and restaurant dishes) use USDA values with real portion weights (slice, cup, small, medium, large, one item); brands come from Open Food Facts. Chain items ("McDonald's large fries", "a Greggs sausage roll", "KFC Zinger burger", "grande latte from Starbucks", "6 inch Italian BMT from Subway", "20 piece McNuggets") use the chain's own published figures for that size, UK or US by country, and return a chain object (name, region, item, size, weight_published); when the chain doesn't publish a weight, amount.grams is null and per_100 values are null. For a chain item not in the table, a typical USDA version is used and the say line says so. A whole meal returns items (each food with its amount and nutrition) and total. Returns nutrition for the amount, per_100 values, portions, UK traffic lights (per 100 g, or per 100 ml for drinks) and caffeine_mg for drinks that have it.
Inputs: q (required), grams, country, servings.
Simple meal ideas by goal, diet and meal, with rough macros. For requests like "give me a high protein halal dinner idea", "a quick vegan lunch", "cheap vegetarian breakfast ideas". Goals: high protein, low carb, budget, quick, high fibre. Diets: vegetarian, vegan, pescatarian, halal. Meals: breakfast, lunch, dinner, snack. The user's words can go in q instead. Ideas rotate daily. It does not set calorie or weight targets; a weight-loss request gets lighter, filling ideas (goal lighter, 450 calories or less) and a pointer to a doctor or dietitian, with no shop links.
Inputs: n, q, diet, goal, +2 more.
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Food logging, nutrition summaries, and meal photo calorie and macro estimates.
Log meals, check calories and macros, set up a nutrition plan, and search foods.
Food and nutrition data: search, macros, and comparisons
AI-powered calorie tracking with photo recognition, barcode scanning, and voice logging
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